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Probability Distributions
If the parameter μ is 11 and the n of the gamma distribution is 50 then the variance of gamma distribution is
0.713
0.613
0.513
0.413
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rikazzz
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Probability Distributions
The number of units multiply profit per unit multiply probability to calculate
discrete profit
expected profit
weighted profit
continuous profit
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rikazzz
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Probability Distributions
The demand of products per day for three days are 21, 19, 22 units and their respective probabilities are 0.29, 0.40, 0.35. The profit per unit is $0.50 then the expected profits for three days are
21, 19, 22
21.5, 19.5, 22.5
0.29, 0.40, 0.35
3.045, 3.8, 3.85
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rikazzz
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Probability Distributions
In the classification of probability distributions, the ‘Erlang distribution’ is also called
alpha distribution
beta distribution
gamma distribution
exponential distribution
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Probability Distributions
The variance of binomial probability distribution is larger in value if
q is greater than 0.5
p and q are equal
p and q are greater than 0.5
p is greater than 0.5
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rikazzz
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Probability Distributions
If the trial is repeated 6 times and the chances of success for desired outcome is 0.75 then the variance for negative probability distribution is
4.67
2.67
3.67
5.67
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rikazzz
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Probability Distributions
In beta distribution, the expected value of random variable x is calculated as
E(x) = m ⁄ m – n
E(x) = n ⁄ m + n
E(x) = m ⁄ m + n
E(x) = n ⁄ m * n
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rikazzz
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Probability Distributions
The formula in which the binomial distribution approaches normal probability distribution with the help of normal variable is written as
x – qn divided by square root of pq
x – np divided by square root of npq
x + np divided by square root of np
x – pq divided by square root of npq
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rikazzz
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Probability Distributions
The class of variable which can accept only the values from set of integers is classified as
discrete random variable
continuous random variable
posterior random variable
interior random variable
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rikazzz
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Probability Distributions
The symbol λ is used to represent
variance of Poisson distribution
standard deviation in Poisson distribution
mean in Poisson distribution
mean in cumulative distribution
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